 | ROCHESTER Americans |
| GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% DG: Martin Gagnon | Morale : 99 | Moyenne d’équipe : 67 |
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| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Nom du joueur | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Anders Bjork | X | 100.00 | 68 | 35 | 93 | 71 | 74 | 89 | 84 | 69 | 59 | 68 | 67 | 66 | 70 | 69 | 65 | 54 | 99 | 72 | 0 | 25 | 2 | 1,400,000$ | ||||
| 2 | Jordan Martinook | X | X | X | 100.00 | 83 | 43 | 83 | 66 | 74 | 78 | 84 | 63 | 85 | 69 | 62 | 74 | 63 | 77 | 75 | 56 | 99 | 72 | 0 | 29 | 4 | 1,500,000$ | ||
| 3 | Alexander True | X | 100.00 | 76 | 39 | 87 | 65 | 89 | 81 | 85 | 64 | 76 | 66 | 61 | 63 | 66 | 67 | 69 | 54 | 99 | 71 | 0 | 24 | 2 | 800,000$ | ||||
| 4 | Tobias Rieder | X | X | X | 100.00 | 58 | 35 | 94 | 73 | 69 | 78 | 85 | 66 | 60 | 64 | 63 | 76 | 66 | 75 | 68 | 49 | 99 | 71 | 0 | 28 | 3 | 750,000$ | ||
| 5 | Brandon Pirri | X | X | X | 100.00 | 64 | 42 | 85 | 66 | 73 | 80 | 78 | 63 | 75 | 64 | 65 | 62 | 67 | 78 | 69 | 56 | 99 | 69 | 0 | 30 | 4 | 775,000$ | ||
| 6 | Brayden Burke | X | X | 100.00 | 56 | 46 | 79 | 63 | 65 | 83 | 88 | 66 | 70 | 68 | 61 | 59 | 64 | 67 | 63 | 52 | 99 | 68 | 0 | 24 | 2 | 750,000$ | |||
| 7 | Marko Dano | X | 100.00 | 67 | 46 | 79 | 66 | 73 | 77 | 72 | 63 | 57 | 60 | 59 | 62 | 65 | 73 | 67 | 68 | 99 | 67 | 0 | 26 | 3 | 1,000,000$ | ||||
| 8 | Yannick Veilleux | X | 100.00 | 71 | 76 | 63 | 64 | 79 | 66 | 71 | 62 | 57 | 61 | 65 | 63 | 67 | 75 | 71 | 51 | 99 | 67 | 0 | 28 | 2 | 750,000$ | ||||
| 9 | JC Lipon | X | 100.00 | 62 | 62 | 60 | 58 | 71 | 88 | 93 | 58 | 61 | 59 | 58 | 60 | 62 | 75 | 68 | 53 | 99 | 67 | 0 | 28 | 3 | 1,000,000$ | ||||
| 10 | Joseph Cramarossa | X | 100.00 | 79 | 64 | 50 | 61 | 72 | 73 | 72 | 60 | 60 | 61 | 59 | 60 | 60 | 77 | 69 | 54 | 99 | 66 | 0 | 28 | 2 | 750,000$ | ||||
| 11 | Aidan Dudas (R) | X | 100.00 | 63 | 35 | 91 | 61 | 62 | 83 | 86 | 58 | 63 | 54 | 57 | 53 | 58 | 61 | 63 | 66 | 99 | 64 | 0 | 21 | 3 | 750,000$ | ||||
| 12 | Tanner Kaspick | X | 100.00 | 65 | 51 | 76 | 57 | 74 | 77 | 82 | 56 | 61 | 54 | 55 | 53 | 57 | 65 | 63 | 59 | 99 | 63 | 0 | 23 | 3 | 800,000$ | ||||
| 13 | Ethan Bear | X | 100.00 | 65 | 39 | 87 | 72 | 70 | 89 | 88 | 67 | 30 | 72 | 61 | 75 | 53 | 67 | 65 | 58 | 99 | 72 | 0 | 24 | 3 | 1,750,000$ | ||||
| 14 | Madison Bowey | X | 100.00 | 73 | 51 | 78 | 66 | 81 | 82 | 76 | 68 | 30 | 75 | 61 | 64 | 53 | 71 | 65 | 67 | 99 | 71 | 0 | 26 | 2 | 750,000$ | ||||
| 15 | Cale Fleury | X | 100.00 | 89 | 35 | 92 | 63 | 80 | 85 | 81 | 62 | 30 | 61 | 56 | 64 | 53 | 65 | 68 | 62 | 99 | 69 | 0 | 22 | 5 | 950,000$ | ||||
| 16 | Axel Andersson (R) | X | 100.00 | 62 | 35 | 93 | 63 | 71 | 73 | 78 | 62 | 30 | 59 | 56 | 61 | 52 | 63 | 64 | 72 | 99 | 65 | 0 | 21 | 3 | 750,000$ | ||||
| 17 | Sean Durzi (R) | X | 100.00 | 62 | 37 | 78 | 63 | 71 | 78 | 83 | 61 | 30 | 62 | 54 | 60 | 47 | 65 | 63 | 71 | 99 | 65 | 0 | 22 | 3 | 750,000$ | ||||
| 18 | Konrad Abeltshauser (R) | X | 100.00 | 49 | 35 | 78 | 60 | 88 | 45 | 40 | 49 | 30 | 34 | 28 | 55 | 48 | 60 | 55 | 71 | 99 | 50 | 0 | 29 | 3 | 750,000$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 67 | 45 | 80 | 64 | 74 | 78 | 79 | 62 | 54 | 62 | 58 | 63 | 60 | 69 | 66 | 60 | 99 | 67 | ||||||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Nom du gardien | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Louis Domingue | 100.00 | 74 | 86 | 81 | 85 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 77 | 83 | 51 | 99 | 69 | 0 | 29 | 3 | 750,000$ | |
| 2 | Eric Comrie | 100.00 | 76 | 80 | 77 | 72 | 75 | 74 | 76 | 75 | 74 | 76 | 75 | 71 | 75 | 65 | 99 | 68 | 0 | 26 | 3 | 750,000$ | |
| Rayé | |||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 75 | 83 | 79 | 79 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 74 | 79 | 58 | 99 | 69 | ||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Benoit Groulx | 76 | 75 | 73 | 79 | 82 | 77 | 69 | CAN | 54 | 3 | 300,000$ |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Nom du joueur | Nom de l’équipe | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
|---|
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Nom du gardien | Nom de l’équipe | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Nom du joueur | Nom de l’équipe | POS | Âge | Date de naissance | Nouveau joueur | Poids | Taille | Non-échange | Disponible pour échange | Ballotage forcé | Contrat | Type | Salaire actuel | Salaire restant | Salaire moyen | Salaire moyen restant | Plafond salarial | Plafond salarial restant | Exclus du plafond salarial | Salaire annuel 2 | Salaire annuel 3 | Salaire annuel 4 | Salaire annuel 5 | Salaire annuel 6 | Salaire annuel 7 | Salaire annuel 8 | Salaire annuel 9 | Salaire annuel 10 | Link |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Aidan Dudas | ROCHESTER Americans (BUF) | C | 21 | 6/15/2000 | Yes | 74 Kg | 173 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 642,857$ | 750,000$ | 642,857$ | 0$ | 0$ | No | 750,000$ | 750,000$ | ||||||||
| Alexander True | ROCHESTER Americans (BUF) | C | 24 | 7/17/1997 | No | 91 Kg | 196 CM | No | No | No | 2 | Pro & Farm | 800,000$ | 685,714$ | 800,000$ | 685,714$ | 0$ | 0$ | No | 800,000$ | Lien | ||||||||
| Anders Bjork | ROCHESTER Americans (BUF) | LW | 25 | 8/5/1996 | No | 90 Kg | 183 CM | No | No | No | 2 | Pro & Farm | 1,400,000$ | 1,200,000$ | 750,000$ | 642,857$ | 0$ | 0$ | No | 1,400,000$ | Lien | ||||||||
| Axel Andersson | ROCHESTER Americans (BUF) | D | 21 | 2/10/2000 | Yes | 81 Kg | 183 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 642,857$ | 750,000$ | 642,857$ | 0$ | 0$ | No | 750,000$ | 750,000$ | ||||||||
| Brandon Pirri | ROCHESTER Americans (BUF) | C/LW/RW | 30 | 4/10/1991 | No | 82 Kg | 185 CM | No | No | No | 4 | Pro & Farm | 775,000$ | 664,286$ | 775,000$ | 664,286$ | 0$ | 0$ | No | 775,000$ | 775,000$ | 775,000$ | Lien | ||||||
| Brayden Burke | ROCHESTER Americans (BUF) | C/LW | 24 | 1/1/1997 | No | 75 Kg | 180 CM | No | No | No | 2 | Pro & Farm | 750,000$ | 642,857$ | 750,000$ | 642,857$ | 0$ | 0$ | No | 750,000$ | Lien | ||||||||
| Cale Fleury | ROCHESTER Americans (BUF) | D | 22 | 11/19/1998 | No | 97 Kg | 185 CM | No | No | No | 5 | Pro & Farm | 950,000$ | 814,286$ | 950,000$ | 814,286$ | 0$ | 0$ | No | 950,000$ | 950,000$ | 950,000$ | 950,000$ | Lien | |||||
| Eric Comrie | ROCHESTER Americans (BUF) | G | 26 | 7/6/1995 | No | 80 Kg | 185 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 642,857$ | 750,000$ | 642,857$ | 0$ | 0$ | No | 750,000$ | 750,000$ | Lien | |||||||
| Ethan Bear | ROCHESTER Americans (BUF) | D | 24 | 6/26/1997 | No | 90 Kg | 180 CM | No | No | No | 3 | Pro & Farm | 1,750,000$ | 1,500,000$ | 1,750,000$ | 1,500,000$ | 0$ | 0$ | No | 1,750,000$ | 1,750,000$ | Lien | |||||||
| JC Lipon | ROCHESTER Americans (BUF) | RW | 28 | 7/10/1993 | No | 83 Kg | 183 CM | No | No | No | 3 | Pro & Farm | 1,000,000$ | 857,143$ | 1,000,000$ | 857,143$ | 0$ | 0$ | No | 1,000,000$ | 1,000,000$ | Lien | |||||||
| Jordan Martinook | ROCHESTER Americans (BUF) | C/LW/RW | 29 | 7/25/1992 | No | 89 Kg | 183 CM | No | No | No | 4 | Pro & Farm | 1,500,000$ | 1,285,714$ | 1,500,000$ | 1,285,714$ | 0$ | 0$ | No | 1,500,000$ | 1,500,000$ | 1,500,000$ | Lien | ||||||
| Joseph Cramarossa | ROCHESTER Americans (BUF) | LW | 28 | 10/26/1992 | No | 85 Kg | 183 CM | No | No | No | 2 | Pro & Farm | 750,000$ | 642,857$ | 750,000$ | 642,857$ | 0$ | 0$ | No | 750,000$ | Lien | ||||||||
| Konrad Abeltshauser | ROCHESTER Americans (BUF) | D | 29 | 9/2/1992 | Yes | 102 Kg | 196 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 642,857$ | 750,000$ | 642,857$ | 0$ | 0$ | No | 750,000$ | 750,000$ | ||||||||
| Louis Domingue | ROCHESTER Americans (BUF) | G | 29 | 3/6/1992 | No | 95 Kg | 191 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 642,857$ | 750,000$ | 642,857$ | 0$ | 0$ | No | 750,000$ | 750,000$ | Lien | |||||||
| Madison Bowey | ROCHESTER Americans (BUF) | D | 26 | 4/22/1995 | No | 92 Kg | 188 CM | No | No | No | 2 | Pro & Farm | 750,000$ | 642,857$ | 750,000$ | 642,857$ | 0$ | 0$ | No | 750,000$ | Lien | ||||||||
| Marko Dano | ROCHESTER Americans (BUF) | LW | 26 | 11/30/1994 | No | 91 Kg | 180 CM | No | No | No | 3 | Pro & Farm | 1,000,000$ | 857,143$ | 1,000,000$ | 857,143$ | 0$ | 0$ | No | 1,000,000$ | 1,000,000$ | Lien | |||||||
| Sean Durzi | ROCHESTER Americans (BUF) | D | 22 | 10/21/1998 | Yes | 84 Kg | 183 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 642,857$ | 750,000$ | 642,857$ | 0$ | 0$ | No | 750,000$ | 750,000$ | ||||||||
| Tanner Kaspick | ROCHESTER Americans (BUF) | C | 23 | 1/28/1998 | No | 91 Kg | 183 CM | No | No | No | 3 | Pro & Farm | 800,000$ | 685,714$ | 750,000$ | 642,857$ | 0$ | 0$ | No | 800,000$ | 800,000$ | Lien | |||||||
| Tobias Rieder | ROCHESTER Americans (BUF) | C/LW/RW | 28 | 1/10/1993 | No | 86 Kg | 180 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 642,857$ | 750,000$ | 642,857$ | 0$ | 0$ | No | 750,000$ | 750,000$ | Lien | |||||||
| Yannick Veilleux | ROCHESTER Americans (BUF) | LW | 28 | 2/22/1993 | No | 89 Kg | 188 CM | No | No | No | 2 | Pro & Farm | 750,000$ | 642,857$ | 750,000$ | 642,857$ | 0$ | 0$ | No | 750,000$ | Lien |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 20 | 25.65 | 87 Kg | 185 CM | 2.90 | 911,250$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Anders Bjork | Jordan Martinook | Tobias Rieder | 40 | 1 | 2 | 2 |
| 2 | Marko Dano | Aidan Dudas | Brandon Pirri | 30 | 1 | 2 | 2 |
| 3 | Brayden Burke | Alexander True | JC Lipon | 20 | 1 | 2 | 2 |
| 4 | Yannick Veilleux | Tanner Kaspick | JC Lipon | 10 | 1 | 2 | 2 |
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Ethan Bear | Sean Durzi | 31 | 1 | 2 | 2 | |
| 2 | Cale Fleury | Madison Bowey | 26 | 1 | 2 | 2 | |
| 3 | Ethan Bear | Axel Andersson | 23 | 1 | 2 | 2 | |
| 4 | Cale Fleury | Axel Andersson | 20 | 1 | 2 | 2 | |
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Anders Bjork | Aidan Dudas | Jordan Martinook | 55 | 1 | 2 | 2 |
| 2 | Brandon Pirri | Alexander True | JC Lipon | 45 | 1 | 2 | 2 |
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Ethan Bear | Sean Durzi | 55 | 1 | 2 | 2 | |
| 2 | Cale Fleury | Madison Bowey | 45 | 1 | 2 | 2 | |
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Jordan Martinook | Anders Bjork | 55 | 1 | 2 | 2 |
| 2 | Alexander True | Tobias Rieder | 45 | 1 | 2 | 2 |
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Cale Fleury | Ethan Bear | 55 | 1 | 2 | 2 |
| 2 | Axel Andersson | Madison Bowey | 45 | 1 | 2 | 2 |
| 3 joueurs en désavantage numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Jordan Martinook | 55 | 1 | 2 | 2 | Ethan Bear | Cale Fleury | 55 | 1 | 2 | 2 |
| 2 | Tobias Rieder | 45 | 1 | 2 | 2 | Madison Bowey | Sean Durzi | 45 | 1 | 2 | 2 |
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Aidan Dudas | Jordan Martinook | 55 | 1 | 2 | 2 |
| 2 | Alexander True | Tobias Rieder | 45 | 1 | 2 | 2 |
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Ethan Bear | Sean Durzi | 55 | 1 | 2 | 2 |
| 2 | Madison Bowey | Cale Fleury | 45 | 1 | 2 | 2 |
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Tobias Rieder | Alexander True | Anders Bjork | Ethan Bear | Sean Durzi |
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Brandon Pirri | Jordan Martinook | Tobias Rieder | Ethan Bear | Cale Fleury |
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Jordan Martinook, Anders Bjork, Marko Dano | Jordan Martinook, Marko Dano | Jordan Martinook |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Ethan Bear, Sean Durzi, Cale Fleury | Madison Bowey | Madison Bowey, Cale Fleury |
| Tirs de pénalité |
|---|
| Jordan Martinook, JC Lipon, Yannick Veilleux, Anders Bjork, Marko Dano |
| Gardien |
|---|
| #1 : Louis Domingue, #2 : Eric Comrie |
| Lignes d’attaque personnalisées en prolongation |
|---|
| Aidan Dudas, Jordan Martinook, Alexander True, Tanner Kaspick, Marko Dano, Anders Bjork, Anders Bjork, Tobias Rieder, Yannick Veilleux, JC Lipon, Joseph Cramarossa |
| Lignes de défense personnalisées en prolongation |
|---|
| Cale Fleury, Konrad Abeltshauser, Sean Durzi, Madison Bowey, Axel Andersson |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| # | VS Équipe | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
| Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | |
| Total pour les joueurs | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Matchs joués | Points | Séquence | Buts | Passes | Points | Tirs pour | Tirs contre | Tirs bloqués | Minutes de pénalités | Mises en échec | Buts en filet désert | Blanchissages |
| 0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tous les matchs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Matchs locaux | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Matchs extérieurs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Derniers 10 matchs | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 0 | 0 | 0 | 0 | 0 | 0 |
| Tentatives en avantage numérique | Buts en avantage numérique | % en avantage numérique | Tentatives en désavantage numérique | Buts contre en désavantage numérique | % en désavantage numérique | Buts pour en désavantage numérique |
|---|---|---|---|---|---|---|
| 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 |
| Tirs en 1e période | Tirs en 2e période | Tirs en 3e période | Tirs en 4e période | Buts en 1e période | Buts en 2e période | Buts en 3e période | Buts en 4e période |
|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Mises en jeu | ||||||||
|---|---|---|---|---|---|---|---|---|
| Gagnées en zone offensive | Total en zone offensive | % gagnées en zone offensive | Gagnées en zone défensive | Total en zone défensive | % gagnées en zone défensive | Gagnées en zone neutre | Total en zone neutre | % gagnées en zone neutre |
| 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% |
| Temps avec la rondelle | |||||
|---|---|---|---|---|---|
| En zone offensive | Contrôle en zone offensive | En zone défensive | Contrôle en zone défensive | En zone neutre | Contrôle en zone neutre |
| 0 | 0 | 0 | 0 | 0 | 0 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Jour | Match | Équipe visiteuse | Score | Équipe locale | Score | ST | OT | SO | RI | Lien |
|---|
| Capacité de l’aréna - Tendance du prix des billets - % | ||
|---|---|---|
| Niveau 1 | Niveau 2 | |
| Capacité | 2000 | 1000 |
| Prix des billets | 35 | 15 |
| Assistance | 0.00% | 0.00% |
| Assistance PCT | 0.00% | 0.00% |
| Revenu | |||||
|---|---|---|---|---|---|
| Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
| 40 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Dépenses | |||
|---|---|---|---|
| Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
| 0$ | 1,822,500$ | 1,752,500$ | 0$ |
| Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
|---|---|---|---|
| 0$ | 0$ | 0 | 0 |
| Estimation | |||
|---|---|---|---|
| Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
| 0$ | 12 | 0$ | 0$ |
| # | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 284 | 264 | 306 | 570 | 84 | 112 | 500 | 270 | 1814 | 14.55% | 132 | 5317 | 18.72 | 116 | 168 | 284 | 256 | 4 | 0 | 4 | 12 | 20 | 0 | 60.11% | 32 | 2.14 | 4 | 8 | |
| 2 | 280 | 271 | 298 | 569 | 134 | 42 | 632 | 406 | 1825 | 14.85% | 243 | 6999 | 25.00 | 82 | 119 | 201 | 188 | 0 | 4 | 4 | 32 | 24 | 14 | 55.08% | 24 | 1.63 | 5 | 18 | |
| 3 | 368 | 213 | 232 | 445 | 158 | 16 | 249 | 605 | 1536 | 13.87% | 230 | 6256 | 17.00 | 60 | 65 | 125 | 128 | 8 | 4 | 12 | 72 | 20 | 13 | 51.63% | 14 | 1.42 | 0 | 1 | |
| 4 | 192 | 192 | 224 | 416 | 76 | 16 | 244 | 228 | 1068 | 17.98% | 92 | 3923 | 20.44 | 92 | 128 | 220 | 144 | 0 | 0 | 0 | 4 | 12 | 8 | 58.55% | 20 | 2.12 | 0 | 4 | |
| 5 | 364 | 74 | 277 | 351 | 179 | 50 | 518 | 585 | 1159 | 6.38% | 775 | 9849 | 27.06 | 63 | 78 | 141 | 140 | 0 | 8 | 8 | 18 | 10 | 1 | 50.00% | 0 | 0.71 | 0 | 0 |
| # | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 334 | 181 | 112 | 41 | 0.919 | 3.29 | 20111 | 10 | 9 | 1102 | 13680 | 6986 | 23 | 6 | 0.723 | 47 | |
| 2 | 68 | 32 | 27 | 7 | 0.918 | 3.47 | 4063 | 10 | 0 | 235 | 2876 | 1487 | 2 | 0 | 0.708 | 24 |
| Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Année | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
| Saison régulière | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 37 | 80 | 39 | 28 | 0 | 3 | 6 | 1 | 3 | 386 | 262 | 124 | 40 | 22 | 14 | 0 | 1 | 1 | 1 | 1 | 192 | 124 | 68 | 40 | 17 | 14 | 0 | 2 | 5 | 0 | 2 | 194 | 138 | 56 | 95 | 386 | 647 | 1033 | 2 | 2 | 100 | 156 | 126 | 4 | 3642 | 1233 | 1280 | 1108 | 33 | 3273 | 1074 | 508 | 1202 | 248 | 119 | 47.98% | 238 | 75 | 68.49% | 8 | 1081 | 2114 | 51.14% | 1068 | 2137 | 49.98% | 760 | 1416 | 53.67% | 1750 | 1061 | 1689 | 716 | 1393 | 677 |
| 37 | 80 | 40 | 27 | 0 | 3 | 6 | 1 | 3 | 387 | 260 | 127 | 40 | 23 | 13 | 0 | 1 | 1 | 1 | 1 | 193 | 122 | 71 | 40 | 17 | 14 | 0 | 2 | 5 | 0 | 2 | 194 | 138 | 56 | 97 | 387 | 649 | 1036 | 1 | 2 | 99 | 157 | 127 | 4 | 3637 | 1236 | 1278 | 1102 | 33 | 3268 | 1077 | 502 | 1203 | 249 | 120 | 48.19% | 235 | 75 | 68.09% | 8 | 1079 | 2108 | 51.19% | 1058 | 2121 | 49.88% | 756 | 1413 | 53.50% | 1751 | 1060 | 1687 | 715 | 1395 | 679 |
| 38 | 80 | 30 | 29 | 0 | 5 | 7 | 4 | 5 | 334 | 316 | 18 | 40 | 16 | 12 | 0 | 3 | 4 | 3 | 2 | 176 | 150 | 26 | 40 | 14 | 17 | 0 | 2 | 3 | 1 | 3 | 158 | 166 | -8 | 90 | 334 | 564 | 898 | 0 | 1 | 80 | 127 | 118 | 13 | 3290 | 1027 | 1179 | 1048 | 67 | 3480 | 1136 | 548 | 1388 | 268 | 89 | 33.21% | 228 | 100 | 56.14% | 3 | 990 | 2002 | 49.45% | 931 | 2140 | 43.50% | 639 | 1354 | 47.19% | 1668 | 926 | 1717 | 725 | 1473 | 759 |
| Total Saison régulière | 240 | 109 | 84 | 0 | 11 | 19 | 6 | 11 | 1107 | 838 | 269 | 120 | 61 | 39 | 0 | 5 | 6 | 5 | 4 | 561 | 396 | 165 | 120 | 48 | 45 | 0 | 6 | 13 | 1 | 7 | 546 | 442 | 104 | 282 | 1107 | 1860 | 2967 | 3 | 5 | 279 | 440 | 371 | 21 | 10569 | 3496 | 3737 | 3258 | 133 | 10021 | 3287 | 1558 | 3793 | 765 | 328 | 42.88% | 701 | 250 | 64.34% | 19 | 3150 | 6224 | 50.61% | 3057 | 6398 | 47.78% | 2155 | 4183 | 51.52% | 5170 | 3047 | 5093 | 2157 | 4262 | 2115 |
| # | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
|---|
| # | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|
BELLEVILLE Senators
BINGHAMTON Devils
BRIDGEPORT Sound Tigers
BROOKLYN Wolfpack
CAROLINA Checkers
GRAND RAPIDS Griffins
HERSEY Bears
LAVAL Rocket
LEHIGH VALLEY Phantoms
PROVIDENCE Bruins
SCRANTON Penguins
SYRACUSE Crunch
BAKERSFIELD Condors
CHICAGO Wolves
CLEVELAND Monsters
COLORADO Eagles
IOWA Wild
MANITOBA Moose
MILWAUKEE Admirals
ROCKFORD IceHogs
SAN ANTONIO Rampage
SAN DIEGO Gulls
STOCKTON Flames
TUSCON Roadrunners
UTICA Comets
